TN_tutorial | Tutorial for TN algorithms

TN_tutorial is a Jupyter Notebook library. TN_tutorial has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This is a tutorial of tensor network (TN) methods, as a part of a course "Computational Physics" for the graduated students in Capital Normal University, Beijing China. A more advanced version of the lecture notes can be found in Springer Open-access (The aim of the course is to explain the mathematic foundation of TN and its connections to quantum many-body physics from the very beginning. The audiences are expected to include the undergraduate and graduate students in physics, and those who study/work in computer sciences and applied mathematics. As the course is mainly for Chinese students, many comments are in Chinese. I haven’t translated them all to English, but will if necessary. Best regards, Shi-Ju Ran sjran@cnu.edu.cn Associate professor Department of Physics Capital Normal University Beijing, 100048 China.